| reading | *The author of this computation has been verified* | R Software Module: Ian.Holliday/rwasp_CARE Data Boxplot.wasp (opens new window with default values) | Title produced by software: CARE Data - Boxplots and Scatterplot Matrix | Date of computation: Mon, 25 Oct 2010 15:47:16 +0000 | | Cite this page as follows: | Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Oct/25/t12880215637q0fyqdota8kn7x.htm/, Retrieved Mon, 25 Oct 2010 17:46:03 +0200 | | BibTeX entries for LaTeX users: | @Manual{KEY,
author = {{YOUR NAME}},
publisher = {Office for Research Development and Education},
title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Oct/25/t12880215637q0fyqdota8kn7x.htm/},
year = {2010},
}
@Manual{R,
title = {R: A Language and Environment for Statistical Computing},
author = {{R Development Core Team}},
organization = {R Foundation for Statistical Computing},
address = {Vienna, Austria},
year = {2010},
note = {{ISBN} 3-900051-07-0},
url = {http://www.R-project.org},
}
| | Original text written by user: | | | IsPrivate? | No (this computation is public) | | User-defined keywords: | | | Dataseries X: | » Textbox « » Textfile « » CSV « | 89 95
90 87
82 91
82 84
71 92
80 84
62 84
77 69
80 84
87 84
96 85
80 89
85 83
89 86
89 91
73 90
88 77
86 88
83 88
91 88
98 102
80 103
84 84
90 87
92 88
86 93
117 101
88 88
86 113
78 95
104 99
89 85
99 105
84 105
89 96
95 88
58 93
77 93
77 69
98 83
58 83
81 93
92 69
94 86
87 90
75 87
80 92
84 75
87 89
114 88
97 87
102 113
80 102
112 101
104 87
75 105
82 101
92 79
102 86
73 95
78 104
74 79
92 86
97 81
92 92
91 95
102 97
89 87
98 94
117 105
92 94
70 88
63 105
91 113
106 69
81 69
98 100
88 113
95 88
105 104
90 94
58 91
86 103
112 95
71 69
98 86
87 108
98 83
117 102
98 94
98 113
90 113
84 93
86 105
68 88
86 90
77 92
83 81
90 86
107 85
102 86
90 97
113 103
86 102
105
110
82
89
99
113
91
92
86
91
82
86
86
102
84
80
96
117
88
99
89
86
98
58
98
58
81
90
112
84
84
75
78
94
75
82
87
59
68
80
94
87
70
113
99
90
102
80
98
9 etc... | | Output produced by software: | Enter (or paste) a matrix (table) containing all data (time) series. Every column represents a different variable and must be delimited by a space or Tab. Every row represents a period in time (or category) and must be delimited by hard returns. The easiest way to enter data is to copy and paste a block of spreadsheet cells. Please, do not use commas or spaces to seperate groups of digits!
| | Charts produced by software: | | http://www.freestatistics.org/blog/date/2010/Oct/25/t12880215637q0fyqdota8kn7x/1lz711288021632.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Oct/25/t12880215637q0fyqdota8kn7x/1lz711288021632.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2010/Oct/25/t12880215637q0fyqdota8kn7x/2e8om1288021632.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Oct/25/t12880215637q0fyqdota8kn7x/2e8om1288021632.ps (open in new window) |
| | Parameters (Session): | par1 = 3 ; par2 = FALSE ; par3 = 0 ; | | Parameters (R input): | par1 = 3 ; par2 = FALSE ; par3 = 0 ; | | R code (references can be found in the software module): | par1 <- as.numeric(par1) #colour
par2<- as.logical(par2) # Notches ?
par3<-as.numeric(par3) # % trim
if(par3>45){par3<-45;warning('trim limited to 45%')}
if(par3<0){par3<-0;warning('negative trim makes no sense. Trim is zero.')}
lotrm<-as.integer(length(y[1,])*par3/100)+1
hitrm<-as.integer(length(y[1,])*(100-par3)/100)
y1<-array(dim=c(dim(y)[1], hitrm-lotrm+1), dimnames=list(dimnames(y)[[1]], 1:(hitrm-lotrm+1) ))
for(i in 1:dim(y)[1]){
tmp<-order(y[i,])
y1[i,]<- y[i, tmp[lotrm:hitrm] ]
}
bitmap(file='test2.png')
pairs(t(y))
dev.off()
y<-y1
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=par2,col=par1))
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
for (j in 1:5)
{
a<-table.element(a,round(r$stats[j,i], digits=2))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
if (par2){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,round(r$conf[1,i], digits=2))
a<-table.element(a, round(r$stats[3,i], digits=2))
a<-table.element(a,round(r$conf[2,i], digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Means',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/trimmed_mean.htm','trimmed mean','definition of trimmed mean'),1,TRUE)
a<-table.element(a,hyperlink('http://www.xycoon.com/unbiased1.htm','unbiased SD','definition of unbiased SD'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,round(mean(z[i], trim=par3/100, na.rm=TRUE), digits=2))
a<-table.element(a,round(sd(z[i], na.rm=TRUE), digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
| |
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